An efficient optimal security system for intrusion detection in cloud computing environment using hybrid deep learning technique
Users have been urged to embrace a cloud-based environment by recent technologies and
advancements. Because of the dispersed nature of cloud solutions, security is a major …
advancements. Because of the dispersed nature of cloud solutions, security is a major …
Utilizing deep learning models and transfer learning for COVID-19 detection from X-ray images
COVID-19 has been a global pandemic. Flattening the curve requires intensive testing, and
the world has been facing a shortage of testing equipment and medical personnel with …
the world has been facing a shortage of testing equipment and medical personnel with …
Internet of Things and citizen science as alternative water quality monitoring approaches and the importance of effective water quality communication
The increasing demand for water and worsening climate change place significant pressure
on this vital resource, making its preservation a global priority. Water quality monitoring …
on this vital resource, making its preservation a global priority. Water quality monitoring …
[HTML][HTML] DI-NIDS: Domain invariant network intrusion detection system
The performance of machine learning based network intrusion detection systems (NIDSs)
severely degrades when deployed on a network with significantly different feature …
severely degrades when deployed on a network with significantly different feature …
[HTML][HTML] Pseudobound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies
Due to the rarity of anomalous events, video anomaly detection is typically approached as
one-class classification (OCC) problem. Typically in OCC, an autoencoder (AE) is trained to …
one-class classification (OCC) problem. Typically in OCC, an autoencoder (AE) is trained to …
[PDF][PDF] Effective security monitoring using efficient SIEM architecture
The unprecedented advances and myriad benefits of the internet have made it
indispensable for almost every organization. With its growing popularity and widespread …
indispensable for almost every organization. With its growing popularity and widespread …
HIDM: A hybrid intrusion detection model for cloud based systems
The cloud computing model is very popular among the users in different sectors like
banking, healthcare, education etc due to its customized low-cost services with high level …
banking, healthcare, education etc due to its customized low-cost services with high level …
A lightweight intrusion detection algorithm for IoT based on data purification and a separable convolution improved CNN
T Yang, JC Chen, H Deng, B He - Knowledge-Based Systems, 2024 - Elsevier
With the rapid development of the IoT (Internet of Things), the network data present the
characteristics of large volume and high dimension. Convolutional neural networks (CNNs) …
characteristics of large volume and high dimension. Convolutional neural networks (CNNs) …
Fcnn-se: An intrusion detection model based on a fusion CNN and stacked ensemble
C Chen, Y Song, S Yue, X Xu, L Zhou, Q Lv, L Yang - Applied Sciences, 2022 - mdpi.com
As a security defense technique to protect networks from attacks, a network intrusion
detection model plays a crucial role in the security of computer systems and networks …
detection model plays a crucial role in the security of computer systems and networks …
Using satellite images and deep learning to measure health and living standards in india
Using deep learning with satellite images enhances our understanding of human
development at a granular spatial and temporal level. Most studies have focused on Africa …
development at a granular spatial and temporal level. Most studies have focused on Africa …